MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

LINEAR REGRESSION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Suppose you have to predict the salary of employees from their experience. This is:
A
Classification task
B
Regression task
C
Clustering task
D
None
Explanation: 

Detailed explanation-1: -A regression analysis is how one controls for various independent variables to predict the outcome of the dependent variable. In a pay equity study, think of regression analysis as the mechanism through which all the moving parts that affect pay (role, performance, location, etc.)

Detailed explanation-2: -Using these estimates, an estimated regression equation is constructed: ลท = b0 + b1x . The graph of the estimated regression equation for simple linear regression is a straight line approximation to the relationship between y and x.

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